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Biomarker abundance in two beef muscles depending on animal breeding practices and carcass characteristics

hal.structure.identifierUnité Mixte de Recherche sur les Herbivores - UMR 1213 [UMRH]
dc.contributor.authorELLIES-OURY, Marie-Pierre
hal.structure.identifierUnité Mixte de Recherche sur les Herbivores - UMR 1213 [UMRH]
dc.contributor.authorGAGAOUA, Mohammed
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierEcole Nationale Supérieure de Cognitique [ENSC]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
dc.contributor.authorSARACCO, Jerome
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
dc.contributor.authorCHAVENT, Marie
hal.structure.identifierUnité Mixte de Recherche sur les Herbivores - UMR 1213 [UMRH]
dc.contributor.authorPICARD, Brigitte
dc.date.accessioned2024-04-04T03:12:10Z
dc.date.available2024-04-04T03:12:10Z
dc.date.created2016
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193841
dc.description.abstractEnThis work sets out a methodological approach to assess the relationships that exist between four sets of data: breeding practices, carcass characteristics, m. Longissimus thoracis biomarkers and m. Semitendinosus biomarkers. Seventy-one young bulls of 3 breeds were characterized by 78 variables. The variables in each set were arranged into 4, 3, 5 and 3 homogeneous clusters respectively using the clustOfVar approach. A second clustering of variables established from these 15 clusters was then used to build 5 pools of clusters that were precisely described to characterize the interaction between the 4 sets of variables.Some practices have a universal impact on biomarker patterns eg. increasing straw proportion in the diet leads to an increase in MyLC-1F and Hsp40 biomarkers whatever the breed and the muscle. Nevertheless, most breeding practices appear to have varying impacts on biomarkers depending on animal type and muscle. For example, ST biomarkers are less related to breeding practices and/or carcass characteristics than in LT. Moreover, some biomarker expressions appear to be breed-dependant, especially for the Angus breed which is very specific in comparison to continental breeds. The breed where muscle biomarkers are the most closely linked to breeding practices and carcass characteristics is the Blonde d’Aquitaine. In this breed, MDH1 and DJ-1 biomarkers are positively linked to muscle yield and carcass development in both muscles and some other LT biomarkers might also be considered as good indicators of carcass fatness (small Hsp, ENO3, Capz-β, MyBP-H).
dc.language.isoen
dc.title.enBiomarker abundance in two beef muscles depending on animal breeding practices and carcass characteristics
dc.typeDocument de travail - Pré-publication
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halStatistiques [stat]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
hal.identifierhal-01417561
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01417561v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=ELLIES-OURY,%20Marie-Pierre&GAGAOUA,%20Mohammed&SARACCO,%20Jerome&CHAVENT,%20Marie&PICARD,%20Brigitte&rft.genre=preprint


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